It is of paramount importance to detect traffic data anomalies in a real-time manner as it
helps efficient traffic control and management. Several unsupervised anomaly detection …

This study examines the potential of an iterative and interactive approach to learn network
traffic dynamics and optimise tolling strategies considering time-varying stochastic traffic. A …

The widely-existed uncertainty of origin–destination (OD) demand in transportation networks
has attracted extensive attention. Most characterizations or modeling of stochastic OD …

A low-cost, timely, and durable long-term approach to resident travel surveys is crucial for
authorities to understand the city's transportation systems and formulate transportation …

In this paper, we evaluate performance of an anomaly detection framework with real traffic
count data collected by SCATS (Sydney Coordinated Adaptive Traffic System) loop …